Chelsea
W
W
L
D
W
L
-
(xG) 2.46 - 1.54
Sunderland
D
D
W
L
L
W
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 76.19% Pending
MATCH RESULT
Draw
Pending

Chelsea vs Sunderland

H2H, Match Stats & Analysis
England Premier League
Stamford Bridge
In their previous 16 head-to-head matches, Chelsea scored an average of 2.06 goals per match, compared to Sunderland 1.44 goals.
Over their last 10 matches, Chelsea scored an average of 3.17 and conceded 1.83, whereas Sunderland scored 1.33 and conceded 2.17.

What are the expected goals (xG) predicted in Chelsea vs Sunderland match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.46 for Chelsea and 1.54 for Sunderland. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 76.19%.

H2H - Chelsea vs. Sunderland

16-01-2027
Chelsea
-
(HT -)
Sunderland
08-11-2026
Sunderland
1 - 0
(HT 1-0)
Chelsea
24-05-2026
Sunderland
2 - 1
(HT 1-0)
Chelsea
25-10-2025
Chelsea
1 - 2
(HT 1-1)
Sunderland
21-05-2017
Chelsea
5 - 1
(HT 1-1)
Sunderland
14-12-2016
Sunderland
0 - 1
(HT 0-1)
Chelsea
07-05-2016
Sunderland
3 - 2
(HT 1-2)
Chelsea
19-12-2015
Chelsea
3 - 1
(HT 2-0)
Sunderland
24-05-2015
Chelsea
3 - 1
(HT 1-1)
Sunderland
29-11-2014
Sunderland
0 - 0
(HT 0-0)
Chelsea
19-04-2014
Chelsea
1 - 2
(HT 1-1)
Sunderland
04-12-2013
Sunderland
3 - 4
(HT 1-2)
Chelsea
07-04-2013
Chelsea
2 - 1
(HT 0-1)
Sunderland
08-12-2012
Sunderland
1 - 3
(HT 0-2)
Chelsea
14-01-2012
Chelsea
1 - 0
(HT 1-0)
Sunderland
10-09-2011
Sunderland
1 - 2
(HT 0-1)
Chelsea
01-02-2011
Sunderland
2 - 4
(HT 2-2)
Chelsea
14-11-2010
Chelsea
0 - 3
(HT 0-1)
Sunderland

Team Form (Last 6)

Home Crest Chelsea

10.10 vs Bournemouth 5-1
W
17.10 @ Everton 0-2
W
24.10 vs Tottenham 0-2
L
28.10 @ Liverpool 1-1
D
31.10 vs Manchester United 2-0
W
08.11 @ Sunderland 1-0
L

Away Crest Sunderland

22.10 @ Lech Poznan 1-1
D
25.10 vs Leeds 0-0
D
28.10 vs Brentford 3-2
W
31.10 @ Coventry 3-1
L
05.11 vs Dinamo Zagreb 0-2
L
08.11 vs Chelsea 1-0
W

Poisson Distribution Algorithm

We utilize a Poisson distribution model to evaluate goal probability (such as the 2.5 threshold) in professional fixtures. By assessing expected offensive and defensive ratings for both home and away sides, our engine calculates precise percentage outcomes for your match predictions.